Manton K G, Stallard E
Int J Epidemiol. 1982 Mar;11(1):49-61. doi: 10.1093/ije/11.1.49.
Models of human carcinogenesis, such as the multi-stage model of Armitage and Doll, are designed to explain the age increase in the incidence of cancers in individuals. As a consequence, analyses of population level age-specific death rates via such models are appropriately applied to cohort data where such data are available. In this study a multi-stage model is applied to cohort data for stomach cancer death rates in the U.S. population for nine distinct cohorts observed over a recent 28-year period (1950-1977). The multi-stage model parameters obtained from the analysis of the cohort data show significant differences from the parameters obtained from analyses of cross-sectional mortality data under the assumption of no cohort differences in age-specific stomach cancer death rates.
人类致癌模型,如阿米蒂奇和多尔的多阶段模型,旨在解释个体癌症发病率随年龄增长的现象。因此,通过此类模型对人群层面的年龄别死亡率进行分析,适用于有此类数据的队列数据。在本研究中,一个多阶段模型被应用于美国人群胃癌死亡率的队列数据,该数据来自最近28年(1950 - 1977年)观察到的九个不同队列。从队列数据分析中获得的多阶段模型参数,与在年龄别胃癌死亡率不存在队列差异的假设下,从横断面死亡率数据分析中获得的参数存在显著差异。